Staff Production Operations Engineer
TLDR
Leads reliability engineering, automation, and incident response for large-scale, real-time data systems, leveraging AI-driven tooling to reduce toil and boost production resilience.
- Drive end-to-end improvements across the incident lifecycle, including alerting quality, severity classification, triage processes, and post-incident follow-ups.
- Coordinate on-call programs across distributed teams, including scheduling, onboarding, and ensuring consistent operational coverage.
- Lead incident reviews, identify root causes, and ensure actionable follow-ups are tracked and completed effectively.
- Build and deploy automation and AI-driven agents to reduce operational toil, including incident summarization and on-call optimization.
- Maintain and evolve runbooks, playbooks, and operational documentation to reflect current system behavior and best practices.
- Partner with engineering and product teams to improve system observability, reliability metrics, and operational readiness.
- Contribute directly to incident resolution when needed by debugging, prototyping fixes, or implementing mitigation strategies.
- Improve monitoring, alerting, and observability systems to reduce noise and increase signal quality across production environments.
- 5+ years of experience in Site Reliability Engineering, DevOps, or Production Operations in large-scale distributed environments.
- Strong experience with incident management platforms such as PagerDuty, incident.io, or similar tools.
- Hands-on expertise with observability stacks including Datadog, Grafana, CloudWatch, Sentry, or equivalents.
- Strong understanding of reliability engineering principles such as SLOs, SLIs, MTTR, MTTA, and error budgets.
- Experience building automation, tooling, or systems to reduce operational toil and improve engineering efficiency.
- Proficiency in Go or another systems programming language with the ability to contribute to production codebases.
- Familiarity with cloud environments (AWS, Azure, or GCP) and infrastructure-as-code practices.
- Experience leveraging AI-assisted development tools to improve workflows and operational processes.
- Strong written communication skills with the ability to coordinate across teams without direct authority.
- Nice to have: experience building AI agents, working with streaming systems like Kafka or Redpanda, or experience in high-scale infrastructure environments.
- Competitive compensation aligned with senior infrastructure engineering roles in the US market
- Equity participation in a high-growth, innovation-driven technology company
- Remote-first work environment across the United States
- Comprehensive medical, dental, and vision insurance coverage
- Flexible paid time off and paid holidays
- Strong emphasis on engineering autonomy, tooling, and modern AI-driven workflows
- Opportunity to work on large-scale distributed systems and real-time data infrastructure
- Professional growth in a fast-moving, globally distributed engineering organization
Requirements:
Benefits:
Benefits
Equity Compensation
Equity participation in a high-growth, innovation-driven technology company
Health Insurance
Comprehensive medical, dental, and vision insurance coverage
Paid Time Off
Flexible paid time off and paid holidays
Remote-Friendly
Remote-first work environment across the United States
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services